Abstract：Student-teacher relationships in a university were analyzed using contact data from surveillance videos to calculate distributions, clustering coefficients, k-cores and community structures. The results show that the contact networks have some characteristics of ER random networks and WS small world networks, but with many more k-cores and communities. The relationships between the teachers and students play an important role in the network structure. The results provide empirical data for building contact network models in workplaces and for the study of information and epidemic spreading in workplaces.
马勋, 申世飞, 倪顺江, 雍诺. 高校师生群体间人员接触网络研究[J]. 清华大学学报（自然科学版）, 2016, 56(5): 538-543.
MA Xun, SHEN Shifei, NI Shunjiang, YONG Nuo. Student-teacher networks in university research institutes. Journal of Tsinghua University(Science and Technology), 2016, 56(5): 538-543.
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